linux/kernel/sched/pelt.c
Peter Zijlstra af0c8b2bf6 sched: Split scheduler and execution contexts
Let's define the "scheduling context" as all the scheduler state
in task_struct for the task chosen to run, which we'll call the
donor task, and the "execution context" as all state required to
actually run the task.

Currently both are intertwined in task_struct. We want to
logically split these such that we can use the scheduling
context of the donor task selected to be scheduled, but use
the execution context of a different task to actually be run.

To this purpose, introduce rq->donor field to point to the
task_struct chosen from the runqueue by the scheduler, and will
be used for scheduler state, and preserve rq->curr to indicate
the execution context of the task that will actually be run.

This patch introduces the donor field as a union with curr, so it
doesn't cause the contexts to be split yet, but adds the logic to
handle everything separately.

[add additional comments and update more sched_class code to use
 rq::proxy]
[jstultz: Rebased and resolved minor collisions, reworked to use
 accessors, tweaked update_curr_common to use rq_proxy fixing rt
 scheduling issues]

Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org>
Signed-off-by: Juri Lelli <juri.lelli@redhat.com>
Signed-off-by: Connor O'Brien <connoro@google.com>
Signed-off-by: John Stultz <jstultz@google.com>
Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org>
Reviewed-by: Metin Kaya <metin.kaya@arm.com>
Tested-by: K Prateek Nayak <kprateek.nayak@amd.com>
Tested-by: Metin Kaya <metin.kaya@arm.com>
Link: https://lore.kernel.org/r/20241009235352.1614323-8-jstultz@google.com
2024-10-14 12:52:42 +02:00

490 lines
13 KiB
C

// SPDX-License-Identifier: GPL-2.0
/*
* Per Entity Load Tracking (PELT)
*
* Copyright (C) 2007 Red Hat, Inc., Ingo Molnar <mingo@redhat.com>
*
* Interactivity improvements by Mike Galbraith
* (C) 2007 Mike Galbraith <efault@gmx.de>
*
* Various enhancements by Dmitry Adamushko.
* (C) 2007 Dmitry Adamushko <dmitry.adamushko@gmail.com>
*
* Group scheduling enhancements by Srivatsa Vaddagiri
* Copyright IBM Corporation, 2007
* Author: Srivatsa Vaddagiri <vatsa@linux.vnet.ibm.com>
*
* Scaled math optimizations by Thomas Gleixner
* Copyright (C) 2007, Thomas Gleixner <tglx@linutronix.de>
*
* Adaptive scheduling granularity, math enhancements by Peter Zijlstra
* Copyright (C) 2007 Red Hat, Inc., Peter Zijlstra
*
* Move PELT related code from fair.c into this pelt.c file
* Author: Vincent Guittot <vincent.guittot@linaro.org>
*/
/*
* Approximate:
* val * y^n, where y^32 ~= 0.5 (~1 scheduling period)
*/
static u64 decay_load(u64 val, u64 n)
{
unsigned int local_n;
if (unlikely(n > LOAD_AVG_PERIOD * 63))
return 0;
/* after bounds checking we can collapse to 32-bit */
local_n = n;
/*
* As y^PERIOD = 1/2, we can combine
* y^n = 1/2^(n/PERIOD) * y^(n%PERIOD)
* With a look-up table which covers y^n (n<PERIOD)
*
* To achieve constant time decay_load.
*/
if (unlikely(local_n >= LOAD_AVG_PERIOD)) {
val >>= local_n / LOAD_AVG_PERIOD;
local_n %= LOAD_AVG_PERIOD;
}
val = mul_u64_u32_shr(val, runnable_avg_yN_inv[local_n], 32);
return val;
}
static u32 __accumulate_pelt_segments(u64 periods, u32 d1, u32 d3)
{
u32 c1, c2, c3 = d3; /* y^0 == 1 */
/*
* c1 = d1 y^p
*/
c1 = decay_load((u64)d1, periods);
/*
* p-1
* c2 = 1024 \Sum y^n
* n=1
*
* inf inf
* = 1024 ( \Sum y^n - \Sum y^n - y^0 )
* n=0 n=p
*/
c2 = LOAD_AVG_MAX - decay_load(LOAD_AVG_MAX, periods) - 1024;
return c1 + c2 + c3;
}
/*
* Accumulate the three separate parts of the sum; d1 the remainder
* of the last (incomplete) period, d2 the span of full periods and d3
* the remainder of the (incomplete) current period.
*
* d1 d2 d3
* ^ ^ ^
* | | |
* |<->|<----------------->|<--->|
* ... |---x---|------| ... |------|-----x (now)
*
* p-1
* u' = (u + d1) y^p + 1024 \Sum y^n + d3 y^0
* n=1
*
* = u y^p + (Step 1)
*
* p-1
* d1 y^p + 1024 \Sum y^n + d3 y^0 (Step 2)
* n=1
*/
static __always_inline u32
accumulate_sum(u64 delta, struct sched_avg *sa,
unsigned long load, unsigned long runnable, int running)
{
u32 contrib = (u32)delta; /* p == 0 -> delta < 1024 */
u64 periods;
delta += sa->period_contrib;
periods = delta / 1024; /* A period is 1024us (~1ms) */
/*
* Step 1: decay old *_sum if we crossed period boundaries.
*/
if (periods) {
sa->load_sum = decay_load(sa->load_sum, periods);
sa->runnable_sum =
decay_load(sa->runnable_sum, periods);
sa->util_sum = decay_load((u64)(sa->util_sum), periods);
/*
* Step 2
*/
delta %= 1024;
if (load) {
/*
* This relies on the:
*
* if (!load)
* runnable = running = 0;
*
* clause from ___update_load_sum(); this results in
* the below usage of @contrib to disappear entirely,
* so no point in calculating it.
*/
contrib = __accumulate_pelt_segments(periods,
1024 - sa->period_contrib, delta);
}
}
sa->period_contrib = delta;
if (load)
sa->load_sum += load * contrib;
if (runnable)
sa->runnable_sum += runnable * contrib << SCHED_CAPACITY_SHIFT;
if (running)
sa->util_sum += contrib << SCHED_CAPACITY_SHIFT;
return periods;
}
/*
* We can represent the historical contribution to runnable average as the
* coefficients of a geometric series. To do this we sub-divide our runnable
* history into segments of approximately 1ms (1024us); label the segment that
* occurred N-ms ago p_N, with p_0 corresponding to the current period, e.g.
*
* [<- 1024us ->|<- 1024us ->|<- 1024us ->| ...
* p0 p1 p2
* (now) (~1ms ago) (~2ms ago)
*
* Let u_i denote the fraction of p_i that the entity was runnable.
*
* We then designate the fractions u_i as our co-efficients, yielding the
* following representation of historical load:
* u_0 + u_1*y + u_2*y^2 + u_3*y^3 + ...
*
* We choose y based on the with of a reasonably scheduling period, fixing:
* y^32 = 0.5
*
* This means that the contribution to load ~32ms ago (u_32) will be weighted
* approximately half as much as the contribution to load within the last ms
* (u_0).
*
* When a period "rolls over" and we have new u_0`, multiplying the previous
* sum again by y is sufficient to update:
* load_avg = u_0` + y*(u_0 + u_1*y + u_2*y^2 + ... )
* = u_0 + u_1*y + u_2*y^2 + ... [re-labeling u_i --> u_{i+1}]
*/
static __always_inline int
___update_load_sum(u64 now, struct sched_avg *sa,
unsigned long load, unsigned long runnable, int running)
{
u64 delta;
delta = now - sa->last_update_time;
/*
* This should only happen when time goes backwards, which it
* unfortunately does during sched clock init when we swap over to TSC.
*/
if ((s64)delta < 0) {
sa->last_update_time = now;
return 0;
}
/*
* Use 1024ns as the unit of measurement since it's a reasonable
* approximation of 1us and fast to compute.
*/
delta >>= 10;
if (!delta)
return 0;
sa->last_update_time += delta << 10;
/*
* running is a subset of runnable (weight) so running can't be set if
* runnable is clear. But there are some corner cases where the current
* se has been already dequeued but cfs_rq->curr still points to it.
* This means that weight will be 0 but not running for a sched_entity
* but also for a cfs_rq if the latter becomes idle. As an example,
* this happens during sched_balance_newidle() which calls
* sched_balance_update_blocked_averages().
*
* Also see the comment in accumulate_sum().
*/
if (!load)
runnable = running = 0;
/*
* Now we know we crossed measurement unit boundaries. The *_avg
* accrues by two steps:
*
* Step 1: accumulate *_sum since last_update_time. If we haven't
* crossed period boundaries, finish.
*/
if (!accumulate_sum(delta, sa, load, runnable, running))
return 0;
return 1;
}
/*
* When syncing *_avg with *_sum, we must take into account the current
* position in the PELT segment otherwise the remaining part of the segment
* will be considered as idle time whereas it's not yet elapsed and this will
* generate unwanted oscillation in the range [1002..1024[.
*
* The max value of *_sum varies with the position in the time segment and is
* equals to :
*
* LOAD_AVG_MAX*y + sa->period_contrib
*
* which can be simplified into:
*
* LOAD_AVG_MAX - 1024 + sa->period_contrib
*
* because LOAD_AVG_MAX*y == LOAD_AVG_MAX-1024
*
* The same care must be taken when a sched entity is added, updated or
* removed from a cfs_rq and we need to update sched_avg. Scheduler entities
* and the cfs rq, to which they are attached, have the same position in the
* time segment because they use the same clock. This means that we can use
* the period_contrib of cfs_rq when updating the sched_avg of a sched_entity
* if it's more convenient.
*/
static __always_inline void
___update_load_avg(struct sched_avg *sa, unsigned long load)
{
u32 divider = get_pelt_divider(sa);
/*
* Step 2: update *_avg.
*/
sa->load_avg = div_u64(load * sa->load_sum, divider);
sa->runnable_avg = div_u64(sa->runnable_sum, divider);
WRITE_ONCE(sa->util_avg, sa->util_sum / divider);
}
/*
* sched_entity:
*
* task:
* se_weight() = se->load.weight
* se_runnable() = !!on_rq
*
* group: [ see update_cfs_group() ]
* se_weight() = tg->weight * grq->load_avg / tg->load_avg
* se_runnable() = grq->h_nr_running
*
* runnable_sum = se_runnable() * runnable = grq->runnable_sum
* runnable_avg = runnable_sum
*
* load_sum := runnable
* load_avg = se_weight(se) * load_sum
*
* cfq_rq:
*
* runnable_sum = \Sum se->avg.runnable_sum
* runnable_avg = \Sum se->avg.runnable_avg
*
* load_sum = \Sum se_weight(se) * se->avg.load_sum
* load_avg = \Sum se->avg.load_avg
*/
int __update_load_avg_blocked_se(u64 now, struct sched_entity *se)
{
if (___update_load_sum(now, &se->avg, 0, 0, 0)) {
___update_load_avg(&se->avg, se_weight(se));
trace_pelt_se_tp(se);
return 1;
}
return 0;
}
int __update_load_avg_se(u64 now, struct cfs_rq *cfs_rq, struct sched_entity *se)
{
if (___update_load_sum(now, &se->avg, !!se->on_rq, se_runnable(se),
cfs_rq->curr == se)) {
___update_load_avg(&se->avg, se_weight(se));
cfs_se_util_change(&se->avg);
trace_pelt_se_tp(se);
return 1;
}
return 0;
}
int __update_load_avg_cfs_rq(u64 now, struct cfs_rq *cfs_rq)
{
if (___update_load_sum(now, &cfs_rq->avg,
scale_load_down(cfs_rq->load.weight),
cfs_rq->h_nr_running,
cfs_rq->curr != NULL)) {
___update_load_avg(&cfs_rq->avg, 1);
trace_pelt_cfs_tp(cfs_rq);
return 1;
}
return 0;
}
/*
* rt_rq:
*
* util_sum = \Sum se->avg.util_sum but se->avg.util_sum is not tracked
* util_sum = cpu_scale * load_sum
* runnable_sum = util_sum
*
* load_avg and runnable_avg are not supported and meaningless.
*
*/
int update_rt_rq_load_avg(u64 now, struct rq *rq, int running)
{
if (___update_load_sum(now, &rq->avg_rt,
running,
running,
running)) {
___update_load_avg(&rq->avg_rt, 1);
trace_pelt_rt_tp(rq);
return 1;
}
return 0;
}
/*
* dl_rq:
*
* util_sum = \Sum se->avg.util_sum but se->avg.util_sum is not tracked
* util_sum = cpu_scale * load_sum
* runnable_sum = util_sum
*
* load_avg and runnable_avg are not supported and meaningless.
*
*/
int update_dl_rq_load_avg(u64 now, struct rq *rq, int running)
{
if (___update_load_sum(now, &rq->avg_dl,
running,
running,
running)) {
___update_load_avg(&rq->avg_dl, 1);
trace_pelt_dl_tp(rq);
return 1;
}
return 0;
}
#ifdef CONFIG_SCHED_HW_PRESSURE
/*
* hardware:
*
* load_sum = \Sum se->avg.load_sum but se->avg.load_sum is not tracked
*
* util_avg and runnable_load_avg are not supported and meaningless.
*
* Unlike rt/dl utilization tracking that track time spent by a cpu
* running a rt/dl task through util_avg, the average HW pressure is
* tracked through load_avg. This is because HW pressure signal is
* time weighted "delta" capacity unlike util_avg which is binary.
* "delta capacity" = actual capacity -
* capped capacity a cpu due to a HW event.
*/
int update_hw_load_avg(u64 now, struct rq *rq, u64 capacity)
{
if (___update_load_sum(now, &rq->avg_hw,
capacity,
capacity,
capacity)) {
___update_load_avg(&rq->avg_hw, 1);
trace_pelt_hw_tp(rq);
return 1;
}
return 0;
}
#endif
#ifdef CONFIG_HAVE_SCHED_AVG_IRQ
/*
* IRQ:
*
* util_sum = \Sum se->avg.util_sum but se->avg.util_sum is not tracked
* util_sum = cpu_scale * load_sum
* runnable_sum = util_sum
*
* load_avg and runnable_avg are not supported and meaningless.
*
*/
int update_irq_load_avg(struct rq *rq, u64 running)
{
int ret = 0;
/*
* We can't use clock_pelt because IRQ time is not accounted in
* clock_task. Instead we directly scale the running time to
* reflect the real amount of computation
*/
running = cap_scale(running, arch_scale_freq_capacity(cpu_of(rq)));
running = cap_scale(running, arch_scale_cpu_capacity(cpu_of(rq)));
/*
* We know the time that has been used by interrupt since last update
* but we don't when. Let be pessimistic and assume that interrupt has
* happened just before the update. This is not so far from reality
* because interrupt will most probably wake up task and trig an update
* of rq clock during which the metric is updated.
* We start to decay with normal context time and then we add the
* interrupt context time.
* We can safely remove running from rq->clock because
* rq->clock += delta with delta >= running
*/
ret = ___update_load_sum(rq->clock - running, &rq->avg_irq,
0,
0,
0);
ret += ___update_load_sum(rq->clock, &rq->avg_irq,
1,
1,
1);
if (ret) {
___update_load_avg(&rq->avg_irq, 1);
trace_pelt_irq_tp(rq);
}
return ret;
}
#endif
/*
* Load avg and utiliztion metrics need to be updated periodically and before
* consumption. This function updates the metrics for all subsystems except for
* the fair class. @rq must be locked and have its clock updated.
*/
bool update_other_load_avgs(struct rq *rq)
{
u64 now = rq_clock_pelt(rq);
const struct sched_class *curr_class = rq->donor->sched_class;
unsigned long hw_pressure = arch_scale_hw_pressure(cpu_of(rq));
lockdep_assert_rq_held(rq);
/* hw_pressure doesn't care about invariance */
return update_rt_rq_load_avg(now, rq, curr_class == &rt_sched_class) |
update_dl_rq_load_avg(now, rq, curr_class == &dl_sched_class) |
update_hw_load_avg(rq_clock_task(rq), rq, hw_pressure) |
update_irq_load_avg(rq, 0);
}